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相关概念视频

Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

726
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
726
Transmission-Line Differential Equations01:26

Transmission-Line Differential Equations

343
Transmission lines are essential components of electrical power systems. They are characterized by the distributed nature of resistance (R), inductance (L), and capacitance (C) per unit length. To analyze these lines, differential equations are employed to model the variations in voltage and current along the line.
Line Section Model
A circuit representing a line section of length Δx helps in understanding the transmission line parameters. The voltage V(x) and current i(x) are measured...
343
Convolution Properties I01:20

Convolution Properties I

182
Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
182
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

293
In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
293
Properties of the z-Transform I01:17

Properties of the z-Transform I

223
The z-transform is a fundamental tool in digital signal processing, enabling the analysis of discrete-time systems through its various properties. It is an invaluable tool for analyzing discrete-time systems, offering a range of properties that simplify complex signal manipulations. One fundamental property is linearity. For any two discrete-time signals, the z-transform of their linear combination equals the same linear combination of their individual z-transforms. This property is essential...
223
Even and Odd Signals01:17

Even and Odd Signals

915
An even signal, whether in continuous-time or discrete-time, is defined by its symmetry with its time-reversed version. Mathematically, this is represented as
915

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相关实验视频

Updated: Jul 21, 2025

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference
00:07

A Photonic System for Generating Unconditional Polarization-Entangled Photons Based on Multiple Quantum Interference

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一个图像加密传输方案基于一个多项式混乱地图.

Yanpeng Zhang1,2, Wenjie Dong3, Jing Zhang1

  • 1Electronic Engineering College, Heilongjiang University, Harbin 150080, China.

Entropy (Basel, Switzerland)
|July 29, 2023
PubMed
概括

这项研究引入了一个新的3D混乱地图,解决了工程应用中的局限性. 拟议的混乱系统表现出复杂的行为,并增强了对各种攻击的图像加密安全性.

科学领域:

  • 混沌理论是一个混乱理论.
  • 密码学 密码学 密码学 密码学
  • 应用数学 应用数学 应用数学

背景情况:

  • 现有的混乱系统带来了工程挑战,例如参数不连续性和动态退化.
  • 需要具有可控制性质的强大的混乱系统.

研究的目的:

  • 设计一个新的三维 (3D) 混乱地图.
  • 为了达到可控制的正的利亚普诺夫指数.
  • 为了增强图像加密安全性.

主要方法:

  • 一个新的3D混乱地图的设计.
  • 莱普诺夫指数的数学分析.
  • 在图像加密方案中的实现.

主要成果:

  • 拟议的系统表现出复杂的混乱行为和高度复杂性.
  • 实现了可控制的正的良普诺夫指数数和值.
  • 有效抵抗粗暴武力,相关性和差异性攻击.

结论:

  • 新的3D混乱地图克服了现有系统的缺点.
  • 拟议的地图为图像加密应用程序提供了增强的安全性.
关键词:
利亚普诺夫指数的指数是动态降解降解的下降图像加密 图像加密

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